AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,317 papers
The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...
Digital asset markets are expanding but remain difficult to evaluate, particularly for retail investors who face information overload, unstructured disclosures, and limited regulatory safeguards. Traditional due diligence methods often fail to capture the complexity of blockchain-based projects, exposing investors to m...
A security assistant that explains log lines has a built in weakness, because many parts of a log line are written by the attacker the assistant is meant to describe, so text placed in a web request can act as an instruction to the language model, which is known as indirect prompt injection. This study measures this on...
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The rapid expansion of artificial intelligence (AI), generative AI and large language models is reshaping how work is organised and how employees engage with emerging technologies. Yet the role of culture in these responses remains poorly understood and is often inferred from contextual proxies rather than measured dir...
Aims and Objectives/Purpose/Research Questions: This exploratory study examines whether sleep quality moderates the relationship between balanced multilingual proficiency and working memory (WM) in U.K.-based young adults speaking two or more languages. Design/Methodology/Approach: Using a cross-sectional design, 91 mu...
This paper replaces six earlier preprints (TES-1 to TES-6, March 2026). A re-analysis of all archived per-prompt data found that the Gate Sparseness Index (GSI) depends strongly on prompt length, which the original analyses did not control, and several pipeline errors affected results. With length controlled, the diffe...
An implementation report under LMCP and PSOS. The Reasoning Stack Manager drives stateless and small language models through bounded work. It holds reasoning as a resumable graph and a context ledger outside the prompt. Twelve deterministic gates score every call, and a reaper recovers by failure class, bounded by prog...
Introduction: Diagnostic otology relies on operator-dependent interpretation of otoscopy, temporal bone computed tomography (CT), audiometry and vestibular testing, and diagnostic accuracy outside specialist settings remains suboptimal. Artificial intelligence (AI) has been proposed as a scalable decision-support solut...
Agentic software-development systems can generate code, analyse repositories, execute development workflows, and report the results of automated checks. However, a system reporting successful completion does not necessarily establish that its output has satisfied the required quality and verification criteria. This tec...
Background: Pediatric ketamine/esketamine research spans anesthesia, sedation, analgesia, and, more recently, psychiatry. By integrating both clinical domains within a single pediatric corpus, this study compared their relative temporal and thematic positions and mapped the intellectual and collaborative structure of t...
The growing volume of scientific literature has made research-paper analysis increasingly time-consuming for students, researchers, and academicians. Tasks such as literature review generation, methodology understanding, research gap identification, citation formatting, and trend discovery often require substantial man...
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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